Taolin Zhang

Affiliations:
  • Hefei University of Technology, School of Computer Science and Information Engineering, Hefei, China
  • Alibaba Group, China (former)
  • East China Normal University, Shanghai, China (former, PhD 2023)


According to our database1, Taolin Zhang authored at least 30 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
QueueEDIT: Structural Self-Correction for Sequential Model Editing in LLMs.
CoRR, June, 2025

UniEdit: A Unified Knowledge Editing Benchmark for Large Language Models.
CoRR, May, 2025

A Short Survey on Small Reasoning Models: Training, Inference, Applications and Research Directions.
CoRR, April, 2025

Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question Answering.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Lifelong Knowledge Editing for LLMs with Retrieval-Augmented Continuous Prompt Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

R<sup>4</sup>: Reinforced Retriever-Reorder-Responder for Retrieval-Augmented Large Language Models.
Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DAFNet: Dynamic Auxiliary Fusion for Sequential Model Editing in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Knowledge-Enhanced Prototypical Network with Structural Semantics for Few-Shot Relation Classification.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

OnMKD: An Online Mutual Knowledge Distillation Framework for Passage Retrieval.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Learning Knowledge-Enhanced Contextual Language Representations for Domain Natural Language Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

From Complex to Simple: Unraveling the Cognitive Tree for Reasoning with Small Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HiCLRE: A Hierarchical Contrastive Learning Framework for Distantly Supervised Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

DKPLM: Decomposable Knowledge-Enhanced Pre-trained Language Model for Natural Language Understanding.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
SaGCN: Structure-Aware Graph Convolution Network for Document-Level Relation Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

HAIN: Hierarchical Aggregation and Inference Network for Document-Level Relation Extraction.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

HfGCN: Hierarchical fused GCN for Joint Entity and Relation Extraction.
Proceedings of the 2021 IEEE International Conference on Big Knowledge, 2021

HORNET: Enriching Pre-trained Language Representations with Heterogeneous Knowledge Sources.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

EMBERT: A Pre-trained Language Model for Chinese Medical Text Mining.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Knowledge-Empowered Representation Learning for Chinese Medical Reading Comprehension: Task, Model and Resources.
CoRR, 2020


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